Paper
23 November 2022 Summary of research on optimum configuration of airport boarding gate
Yuxi Liu, Jixin Liu, Lingxiao Jiang, Xinjue Zhang
Author Affiliations +
Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 1230256 (2022) https://doi.org/10.1117/12.2645438
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China
Abstract
With the increase in air transportation, the problem of of the airport gate shortage has become increasingly prominent. Unreasonable gate allocation will affect resource utilization, reduce customer satisfaction, and even lead to chaos in airport operations, restricting the rapid development of the airport. As the expansion of the gate requires a lot of capital, manpower and material resources, it is extremely important to optimize the configuration of the existing gates using reasonable and efficient methods. This article reviews the research status of the optimization of airport gates at home and abroad. The three main research methods are summarized and the general process of airport gate optimization configuration is sorted out, and the commonly used airport gate optimization configuration models are reviewed, including the main decision variables, optimization goals and constraints. The paper briefly analyzes the solution of the model based on the accurate algorithms, heuristic algorithm and meta-heuristic algorithm, and looks forward to the future research direction of the optimal configuration of airport gates.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuxi Liu, Jixin Liu, Lingxiao Jiang, and Xinjue Zhang "Summary of research on optimum configuration of airport boarding gate", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 1230256 (23 November 2022); https://doi.org/10.1117/12.2645438
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KEYWORDS
Optimization (mathematics)

Mathematical modeling

Computer programming

Algorithms

Computer simulations

Genetic algorithms

Algorithm development

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